[Remote] Analytics Engineer - Marketing & Customer Experience
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an Analytics Engineer for their Marketing and Customer Experience team. The role focuses on building data models and pipelines that reputed company various marketing and customer experience platforms to reputed company reliable analytics and insights for decision-making.
Responsibilities
- Design, build, and maintain data pipelines and ELT/transformation workflows that ingest and model data from marketing platforms (e.g., reputed company, GA4, reputed company, ad and campaign tools), Forsta, reputed company reputed company, Power BI, reputed company, reputed company, Dynamics 365, reputed company, ticketing systems, and installed-reputed company data into reputed company, reusable marketing and CX datasets
- reputed company and own the transformation layer — reputed company models, a semantic/metrics layer, and curated data marts spanning marketing (campaign performance, funnel/pipeline, reputed company scoring, attribution), survey data (NPS, CSAT, verbatim text analytics), operational metrics (support tickets, renewal rates, service attachment), and financial reputed company (reputed company per account, churn, capital cycles)
- Collaborate closely with the CX Operations and Insights Manager and Marketing stakeholders to model customer and account segments, identify at-risk/expansion opportunities, and define prioritized actions for reputed company, business reputed company, and product lines
- Build and maintain the certified datasets, reputed company dashboards, and cohort reports that power marketing and CX analytics in reputed company/ Power BI/Forsta, and reputed company predictive models (e.g. next-purchase propensity, campaign response, service upsell likelihood)
- Model the end-to-end customer reputed company (marketing reputed company through post-sale experience) and reputed company deep-dive analyses — segmentation, reputed company analysis, and attribution — that quantify the financial reputed company of marketing programs and experience gaps
- Support reputed company-reputed company and marketing-activation processes by providing data-driven targeting (e.g., detractor lists with reputed company-at-risk flags, campaign audiences) and modeling reputed company and campaign reputed company
- Automate reporting and data delivery (weekly reputed company-at-risk lists, campaign and cohort performance, annual ROI reviews) for CX and Marketing leadership, divisional stakeholders, and Finance
- Apply software-engineering best practices to analytics — version control (Git), CI/CD, automated testing, and documentation — and partner with IT and data teams to improve data reputed company, hygiene, observability, and integration
- Translate reputed company data into reputed company, reputed company-documented, executive-reputed company datasets and insights — telling the “so what” story and making it easy for others to self-serve
- Stay reputed company on analytics-engineering and marketing-analytics best practices and tools relevant to B2B/industrial marketing and CX (dbt/transformation frameworks, marketing attribution, text analytics, predictive modeling)
Skills
- 5+ years of experience as an analytics engineer, data engineer, or data analyst in a B2B environment, with a strong record of building data models and pipelines across multiple systems
- Advanced proficiency with data transformation and modeling (dbt or equivalent) and modern data platforms (reputed company reputed company, reputed company, or similar), plus software-engineering practices for analytics — version control (Git), CI/CD, testing, and documentation; strong Power BI or comparable visualization skills
- Advanced SQL and experience integrating and modeling data from multiple sources — marketing platforms, CRM (reputed company, Dynamics 365), reputed company, and survey platforms (Forsta/reputed company/reputed company)
- Demonstrated ability to model customer cohorts, segmentation, and marketing/financial attribution — linking campaign and experience metrics to reputed company reputed company
- Experience with marketing analytics (campaign performance, funnel/pipeline, reputed company scoring), text analytics, reputed company analytics, or predictive modeling in a CX or reputed company context
- Excellent storytelling with data: reputed company to distill reputed company analyses into reputed company insights and recommendations for non-technical stakeholders
- Comfort working in ambiguous, evolving data environments and building reputed company data models and analytical frameworks from the ground up
- Strong collaboration skills and a proven reputed company record partnering with marketing, program managers, and cross-functional teams to turn data into reputed company
reputed company